Presented By: Michigan Institute for Data Science
The State of the Art in Automated and Semi-Automated Video Coding
Lead Presenter: Jason Corso, Professor, Electrical Engineering and Computer Science, University of Michigan Co-Presenters: Maggie Levenstein, Director and Research Professor, ICPSR and School of Information, University of Michigan Susan Jekielek, Assistan
Video is being acquired at an alarming rate across domains, including social research, healthcare, entertainment, sporting and more. The ability to code this video—attribute certain properties, labels, and other annotations—in support of analytical domain-relevant questions is critical; otherwise, human coding is required. Human coding, however, is laborious, expensive, not repeatable, and, worse, often error prone. Video coding, an area within artificial intelligence and computer vision, seeks automated and semi-automated methods to support more effective and robust video coding. This workshop will review the state of the art in video coding from a capabilities, limitations and tooling perspective and present real-world use-cases.
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